Knowledge Hut

JULY 26, 2023

Database Software- Document Store (e.g.-MongoDB): MongoDB): MongoDB is a prominent database software that comes under the category of "document store" databases. Document store databases, such as MongoDB, are intended to store and manage data that is unstructured or semi-structured, such as documents.

Database 52

Database NoSQL Telecommunication MongoDB 52

Cloud Academy

JANUARY 27, 2022

Knowing SQL means you are familiar with the different relational databases available, their functions, and the syntax they use. For example, you can learn about how JSONs are integral to non-relational databases – especially data schemas, and how to write queries using JSON.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

DareData

JANUARY 30, 2023

AWS Glue: A fully managed data orchestrator service offered by Amazon Web Services (AWS). Azure Data Factory: A cloud-based data integration service offered by Microsoft. Examples of relational databases include MySQL or Microsoft SQL Server. Examples of NoSQL databases include MongoDB or Cassandra.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

ProjectPro

JULY 30, 2021

Why Learn Cloud Computing Skills? The job market in cloud computing is growing every day at a rapid pace. A quick search on Linkedin shows there are over 30000 freshers jobs in Cloud Computing and over 60000 senior-level cloud computing job roles. What is Cloud Computing? Thus came in the picture, Cloud Computing.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

JUNE 23, 2023

Let us look at the steps to becoming a data engineer: Step 1 - Skills for Data Engineer to be Mastered for Project Management Learn the fundamentals of coding skills, database design, and cloud computing to start your career in data engineering. Pathway 2: How to Become a Certified Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

SEPTEMBER 6, 2023

These certifications encompass database administration, database development, data warehousing and business intelligence, Big data and NoSQL, Data engineering, Cloud Data Architecture and other vendor specialties. You can begin by getting a beginner's certification to step into the database world.

Database 52

Database Certification MongoDB MySQL 52

Rockset

AUGUST 2, 2023

This enrichment data has changing schemas and new data providers are constantly being added to enhance the insights, making it challenging for Windward to support using relational databases with strict schemas. They used MongoDB as their metadata store to capture vessel and company data.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

Edureka

FEBRUARY 9, 2023

Microsoft Azure is a modern cloud platform that provides a wide range of services to businesses. Every year, Azure’s usage graph grows, bringing it closer to AWS. These businesses are transferring their data and servers from on-premises to the Azure Cloud.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

SEPTEMBER 26, 2023

Data engineers work on the data to organize and make it usable with the aid of cloud services. The duties and responsibilities that a Microsoft Azure Data Engineer is required to carry out are all listed in this section: Data engineers provide and establish on-premises and cloud-based data platform technologies.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 19, 2022

Data Engineering Requirements Data Engineer Learning Path: Self-Taught Learn Data Engineering through Practical Projects Azure Data Engineer Vs AWS Data Engineer Vs GCP Data Engineer FAQs on Data Engineer Job Role How long does it take to become a data engineer? Ability to demonstrate expertise in database management systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JANUARY 31, 2023

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. Map Reduce programs in cloud computing are parallel, making them ideal for executing large-scale data processing across multiple machines in a cluster. When to use MapReduce with Big Data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Knowledge Hut

APRIL 18, 2023

Cloud Engineers While seeking web based jobs, you can explore the career path of a cloud engineer. Cloud engineers are known to focus on planning, constructing, and supporting cloud-based infrastructure and applications. They are expected to work with platforms and tools like AWS, GCP, Azure, etc.,

Computer Science 59

Computer Science Programming Language Java Education 59

ProjectPro

DECEMBER 7, 2021

Data Pipeline Tools AWS Data Pipeline Azure Data Pipeline Airflow Data Pipeline Learn to Create a Data Pipeline FAQs on Data Pipeline What is a Data Pipeline? A data pipeline automates the movement and transformation of data between a source system and a target repository by using various data-related tools and processes.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Knowledge Hut

SEPTEMBER 6, 2023

Cloud Computing : Knowledge of cloud platforms like AWS, Azure, or Google Cloud is essential as these are used by many organizations to deploy their big data solutions. AWS Certified Data Analytics - Specialty exam (DAS-C01) Introduction : AWS Certified Data Analytics – Specialty is for experienced individuals.

Big Data 52

Big Data Certification Hadoop Scala 52

ProjectPro

JANUARY 19, 2022

Microsoft Azure is a modern cloud platform that offers businesses a wide range of services. Azure's usage graph grows every year, bringing it closer to AWS. These companies are migrating their data and servers from on-premises to Azure Cloud. The fundamental skills apply to any data engineer, regardless of the cloud platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JULY 27, 2021

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms. Differentiate between relational and non-relational database management systems.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Rockset

SEPTEMBER 13, 2022

DynamoDB is a NoSQL database provided by AWS. It's a fully managed database, and it has growing popularity in both high-scale applications and in serverless applications. It has direct connectors for a number of primary data stores, including DynamoDB, MongoDB, Kafka, and many relational databases.

SQL 52

SQL Database Relational Database AWS 52

ProjectPro

NOVEMBER 14, 2015

These Apache Spark projects are mostly into link prediction, cloud hosting, data analysis, and speech analysis. Cloud Hosting 6.Specialized This failure of relational database management systems triggered organizations to move their data from RDBMS to Hadoop. Cloud deployment saves a lot of time, cost, and resources.

Hadoop 52

Hadoop Project Big Data Healthcare 52

U-Next

SEPTEMBER 7, 2022

Cloud storage provided by Google . Atlas Data Lake powered by MongoDB. . Athena on AWS. . Data is stored in both a database and a data warehouse. As a general rule, the bottom tier of a data warehouse is a relational database system. A database is also a relational database system.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

AltexSoft

OCTOBER 8, 2021

Usually, data integration software is divided into on-premise, cloud-based, and open-source types. Commonly deployed in the local network or private cloud, they contain specifically configured connectors to load data from multiple local sources as a batch operation. Cloud-based data integration tools. Pre-built connectors.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

AltexSoft

MAY 12, 2023

It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59